Skip to content
Level

Grab

Senior Data Scientist (Analytics) - Financial Services

Grab is hiring a Senior Data Scientist (Analytics) - Financial Services. Level rates it ; you can apply on Grab.

Level's read on this job

  • Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • Grab has 436 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

 

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

 

Get to Know the Team

The Grab Financial Services Analytics team supports the Financial Services product and business organisations, across Payments, Lending, Insurance, and Kios. As a Senior Data Scientist (Analytics), you will be part of the Lending tech family where we aim to be the best FinTech company in the region. Our team focuses on understanding user experiences and partners with Business, Product, Design, and Tech teams to achieve the right outcomes. We are necessary to product development, from understanding user journeys with UX designers, to developing hypotheses, through to post-rollout optimisation.

 

Get to Know the Role

You will use data to understand user needs and be the de-facto Voice of the Customer (users, driver-partners, merchants, agents) across Lending's suite of products. You will use data to unveil insights to help scale our products. You will promote data-driven decision-making within GFin and partner with Product Managers, Business Owners, UX Designers, and Engineers to design analytical projects that inform the Product roadmap. You will provide expertise and produce data-driven hypotheses to solve important Product and Business problems, and guide our Financial Services strategies forward.

You will report into the Lending Analytics Manager and work onsite at our office in Petaling Jaya, Malaysia.

 

The Critical Tasks You Will Perform

  • You will partner with product, design, and engineering teams to obtain insights, design experiments, and guide important product decisions.
  • You will support strategic plans with data insights, performing deep-dives into user behaviour, segmented views and product efficacy.
  • You will provide tailored analysis for specific products and strategies, define critical business and product metrics, and make regular recommendations for continuous improvements.
  • You will design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
  • You will analyse clickstream and transactional data to uncover insights on user behaviour and guide product metrics. You will manage instrumentation for all feature releases within assigned tech families within GFin.
  • You will develop self-serve solutions for partners that are scalable and automated to handle a product environment. You will guide plans involving Large Language Models or Generative Artificial Intelligence.

 

What Essential Skills You Will Need

  • You have at least 4 years of experience in Analytics, Business Intelligence, or Data Science, in a Tech (FinTech or E-Commerce) company.
  • You have a Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
  • You are proficient in writing advanced SQL queries and querying large relational databases.
  • You have hands-on experience with data analysis and programming tools such as Python.
  • You are skilled in data visualisation platforms like PowerBI or D3.js to present findings.
  • You have experience designing, running, and analysing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE).

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

  • We have your back with Term Life Insurance and comprehensive Medical Insurance.
  • With GrabFlex, create a benefits package that suits your needs and aspirations.
  • Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
  • We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
  • Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

How we rate this

Senior Data Scientist (Analytics) - Financial Services at Grab rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get new data scientist jobs by email

One email a week with the new data scientist jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Data roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Grab

More data scientist jobs

Related searches

Same AI level